Triple

T2495429
Position Surface form Disambiguated ID Type / Status
Subject Tirich Mir E52142 entity
Predicate mapLabel P13793 FINISHED
Object Tirich Mir E52142 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tirich Mir | Statement: [Tirich Mir, mapLabel, Tirich Mir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirich Mir
Context triple: [Tirich Mir, mapLabel, Tirich Mir]
  • A. Tirich Mir chosen
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • B. Rakaposhi
    Rakaposhi is a prominent 7,788-meter peak in the Karakoram range of northern Pakistan, renowned for its dramatic rise above the surrounding valleys and its striking, pyramid-like profile.
  • C. Nanga Parbat
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • D. Gasherbrum I
    Gasherbrum I is one of the world’s fourteen eight-thousanders, a major peak of the Karakoram range on the Pakistan–China border and among the highest mountains on Earth.
  • E. K2
    K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2357438648190b2dc11ae9b568a15 completed March 12, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:45 p.m.